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The Expert System to Advise Nutrition and Physical Therapy for Chronic Disease Elderly Patient on Mobile Device

เทวิน ธนะวงษ์; Tawin Tanawong

Date:2015-02

Abstract:

This research proposes using technique data mining modeling support an expert
system to advise nutrition and physical therapy for chronic disease elderly patient on
mobile device. The development of model with weka3.6.9 program, by using the algorithm
classification of patients with simple k-means and the apriori for generating association rules.
The distance measurement of data with percentage split66% from each of disease 250
samples. Then create rules in the group of 10 on minimum confidence level 0.9. That are
rules used for nutrition and physical therapy each of disease 80 rules for the use of
embedded code on the application to run through the user interface on mobile devices.
For example, patients with diabetes were K= 4 : 5 dimension and K= 4 : 4 dim, hypertension
K=4 : 5 dimension and K= 4 : 4, hepatitisB K=4 : 5 and K= 4 : 4, osteoarthritis K= 4 : 5 and K=
4 : 4, paralysis K= 4 : 5 and K= 4 : 4 and parkinson K= 4 : 5 and K= 4 : 4 for the physical and
nutrition therapy respectively.